“Understanding the impact of multi-row interaction on the embedded rotor forcing function is essential to prevent catastrophic aeromechanical failures on compressors. Ansys CFX was used extensively to understand this phenomenon and predict the forcing function.”
- Shreyas Hegde Ph.D. Candidate, Duke University
An important topic in the gas turbine industry is blade aeromechanics, which can lead to engine failure. GUIde Consortium launched a project to better understand the underlying physics of multi-row interactions in gas turbine compressors. The Aeroelasticity Research Group at Duke University investigated this phenomenon computationally, in conjunction with physical testing at the Zucrow labs at Purdue University. The research involved high-fidelity 3D time domain computational simulations using Ansys CFX and a few in-house codes.
The computational cost involved in turbomachinery simulations is primarily due to nonuniform pitch ratios across multiple rows. This warrants the use of full-wheel 3D computational domains, which are very expensive computationally. By using the model reduction techniques available in CFX (particularly the time transformation method) we were able to reduce the computational times significantly and obtain high-quality results.